Senior Azure Data Engineer

Senior Azure Data Engineer, Seattle, WA, US Senior Data Engineer As a Data Engineer in the MarTech and Brand Technology team at Lululemon, you will bring a high level of technical knowledge, but also an ability to spread knowledge to your co-workers. You will help form the core of our engineering practice at lululemon by contributing to all areas of development and operations (pre-production to production). You will be an example of what good engineering looks like and help others around you refine their skills. You will be part of a day-to-day production release team and may perform on-call support functions as needed. Having a DevOps mindset is the key to success in this role, as Engineers are commonly part of full DevOps teams that “own” all parts of software development, release pipelines, production monitoring, security and support. Data Engineering Projects Data pipeline creation and maintenance. Stack: Azure Cloud, Azure Databricks, SnowflakeIncludes engineering, documentation, knowledge transfer to other engineers, future enhancements and maintenanceCreate secure data views and publish them to the Enterprise Data Exchange via Snowflake for other lululemon teams to consumeData pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity CatalogLeverage existing CICD process for pipeline deploymentAdhere to PII encryption and masking standards DevOps Support Support improvements to current CICD processProduction monitoring and failure supportProvide an escalation point and participate in on-call support rotationsParticipate in discussions on how to improve DevOpsBe aware of product release and how that impacts our businessTake part in Agile ceremoniesPerform engineering assignments using existing procedures and best practicesConduct research to aid in product troubleshooting and optimization effortsParticipate in and contribute to our Engineering Community of Practice Qualifications Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible5+ years of relevant engineering experienceAzure certification is preferred.Experience with DBT/DLT and working with Medallion ArchitectureExperience with Azure Cloud deployments and Configurations.Experience with CI/CD principles and best practices including Azure DevOps and Repos.Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts.Experience working with a Data Engineering team and understanding of Data Engineering practices.Experience with Terraform and ARM templates is preferred.Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology spaceExperience with bug tracking and task management software such as JIRA, etc.Experienced in managing outages, customer escalations, crisis management, and other similar circumstances. Must Haves Acknowledges the presence of choice in every moment and takes personal responsibility for their life.Possesses an entrepreneurial spirit and continuously innovates to achieve great results.Communicates with honesty and kindness and creates the space for others to do the same.Leads with courage, knowing the possibility of greatness is bigger than the fear of failure.Fosters connection by putting people first and building trusting relationships.Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously. Benefits At IntelliBee Long-Term Stability: Join us on a multi-year opportunities with room to grow.Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.Future Planning: Enroll in our 401(k) program and invest in your financial security.GC Assistance: We support immediate Green Card processing, if required. Date Posted:15-Oct-2026